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1) Chronic pain development following burn injury. Chronic pain is common following burn injury and previous studies in the lab have shown an association between low peritraumatic Vitamin D levels and chronic pain severity following burn injury. Therefore, we hypothesize that supplementation of Vitamin D in the peritraumatic period may improve chronic pain outcomes via inflammatory mechanisms. To test this hypothesis, we are currently enrolling participants in a mechanistic, randomized controlled clinical trial aimed to assess the influence of Vitamin D on immune mechanisms following burn injury.
2) Inflammatory mechanisms of chronic pain. Immune dysfunction is strongly associated with chronic pain. Our lab is currently developing state-of-the-art methods using mass cytometry to assesses immune mechanisms involved in chronic pain from participants enrolled in clinical studies.
3) Development of precision medicine algorithms for management of chronic low back pain. Dr. Mauck is the contact Principal Investigator of the Biomarkers for Evaluating Spine Treatments trial, an NIH-funded precision medicine study aimed to develop a precision medicine algorithm that will use biomarkers to inform the optimal sequence of treatments to address chronic low back pain. This study, funded by the NIH HEAL Initiative, is the collaborative centerpiece of the Back Pain Consortium. An additional goal of this work is to develop an improved understanding of biomarkers that underlie chronic low back pain and the response to interventions.
4) Development of novel light treatments presented to the retina for acute and chronic pain. Our lab is collaborating with investigators from across the country to pull together his expertise in vision neuroscience and chronic pain. The aim of this work is to identify neural mechanisms that underlie the phenomenon of light-driven analgesia and to develop novel approaches to treating chronic pain using light delivered to the retina.


ºÚÁÏÍø AFFILIATIONS:

Anesthesiology

CLINICAL/RESEARCH INTERESTS:

Behavior, Clinical Informatics, Genetics, Neurobiology